tradingagents/dataflows/local.py

@@ -418,6 +418,18 @@ def get_reddit_global_news(
     Returns:
         str: 包含 Reddit 上最新新聞文章貼文的格式化字串。
     """
+    
+    # 檢查數據目錄是否存在
+    reddit_data_path = os.path.join(DATA_DIR, "reddit_data")
+    global_news_path = os.path.join(reddit_data_path, "global_news")
+    
+    if not os.path.exists(reddit_data_path):
+        print(f"警告：Reddit 數據目錄不存在: {reddit_data_path}。請確保數據目錄已正確設置。")
+        return ""
+    
+    if not os.path.exists(global_news_path):
+        print(f"警告：全球新聞數據目錄不存在: {global_news_path}。請確保已下載 Reddit 全球新聞數據。")
+        return ""
 
     curr_date_dt = datetime.strptime(curr_date, "%Y-%m-%d")
     before = curr_date_dt - relativedelta(days=look_back_days)
@@ -432,13 +444,17 @@ def get_reddit_global_news(
 
     while curr_iter_date <= curr_date_dt:
         curr_date_str = curr_iter_date.strftime("%Y-%m-%d")
-        fetch_result = fetch_top_from_category(
-            "global_news",
-            curr_date_str,
-            limit,
-            data_path=os.path.join(DATA_DIR, "reddit_data"),
-        )
-        posts.extend(fetch_result)
+        try:
+            fetch_result = fetch_top_from_category(
+                "global_news",
+                curr_date_str,
+                limit,
+                data_path=reddit_data_path,
+            )
+            posts.extend(fetch_result)
+        except (FileNotFoundError, ValueError) as e:
+            # 如果特定日期的數據不存在，繼續下一天
+            print(f"警告：無法獲取 {curr_date_str} 的數據: {e}")
         curr_iter_date += relativedelta(days=1)
         pbar.update(1)
 
@@ -471,6 +487,18 @@ def get_reddit_company_news(
     Returns:
         str: 包含 Reddit 上新聞文章貼文的格式化字串。
     """
+    
+    # 檢查數據目錄是否存在
+    reddit_data_path = os.path.join(DATA_DIR, "reddit_data")
+    company_news_path = os.path.join(reddit_data_path, "company_news")
+    
+    if not os.path.exists(reddit_data_path):
+        print(f"警告：Reddit 數據目錄不存在: {reddit_data_path}。請確保數據目錄已正確設置。")
+        return ""
+    
+    if not os.path.exists(company_news_path):
+        print(f"警告：公司新聞數據目錄不存在: {company_news_path}。請確保已下載 Reddit 公司新聞數據。")
+        return ""
 
     start_date_dt = datetime.strptime(start_date, "%Y-%m-%d")
     end_date_dt = datetime.strptime(end_date, "%Y-%m-%d")
@@ -490,14 +518,18 @@ def get_reddit_company_news(
 
     while curr_date <= end_date_dt:
         curr_date_str = curr_date.strftime("%Y-%m-%d")
-        fetch_result = fetch_top_from_category(
-            "company_news",
-            curr_date_str,
-            max_per_day,
-            query,
-            data_path=os.path.join(DATA_DIR, "reddit_data"),
-        )
-        posts.extend(fetch_result)
+        try:
+            fetch_result = fetch_top_from_category(
+                "company_news",
+                curr_date_str,
+                max_per_day,
+                query,
+                data_path=reddit_data_path,
+            )
+            posts.extend(fetch_result)
+        except (FileNotFoundError, ValueError) as e:
+            # 如果特定日期的數據不存在，繼續下一天
+            print(f"警告：無法獲取 {curr_date_str} 的數據: {e}")
         curr_date += relativedelta(days=1)
 
         pbar.update(1)

tradingagents/default_config.py

@@ -3,7 +3,7 @@ import os
 DEFAULT_CONFIG = {
     "project_dir": os.path.abspath(os.path.join(os.path.dirname(__file__), ".")),
     "results_dir": os.getenv("TRADINGAGENTS_RESULTS_DIR", "./results"),
-    "data_dir": "/Users/yluo/Documents/Code/ScAI/FR1-data",
+    "data_dir": os.path.join(os.path.expanduser("~"), "Documents/Code/ScAI/FR1-data"),
     "data_cache_dir": os.path.join(
         os.path.abspath(os.path.join(os.path.dirname(__file__), ".")),
         "dataflows/data_cache",
@@ -23,11 +23,12 @@ DEFAULT_CONFIG = {
         "core_stock_apis": "yfinance",       # 選項: yfinance, alpha_vantage, local
         "technical_indicators": "yfinance",  # 選項: yfinance, alpha_vantage, local
         "fundamental_data": "alpha_vantage", # 選項: openai, alpha_vantage, local
-        "news_data": "alpha_vantage",        # 選項: openai, alpha_vantage, google, local
+        "news_data": "openai",               # 選項: openai, alpha_vantage, google, local
     },
     # 工具層級設定 (優先於類別層級設定)
     "tool_vendors": {
         # 範例: "get_stock_data": "alpha_vantage",  # 覆寫類別預設值
         # 範例: "get_news": "openai",               # 覆寫類別預設值
+        "get_global_news": "openai",  # get_global_news 不支持 alpha_vantage，使用 openai 作為主要供應商
     },
 }